research-article

A limits study of benefits from nanostore-based future data-centric system architectures

Authors:

Parthasarathy Ranganathan,

Kevin T. LimAuthors Info & Claims

CF '12: Proceedings of the 9th conference on Computing Frontiers

Pages 33 - 42

https://doi.org/10.1145/2212908.2212915

Published: 15 May 2012 Publication History

Abstract

The adoption of non-volatile memories (NVMs) in system architecture and the growth in data-centric workloads offer exciting opportunities for new designs. In this paper, we examine the potential and limit of designs that move compute in close proximity to NVM-based data stores. To address the challenges in evaluating such system architectures for distributed systems, we develop and validate a new methodology for large-scale data-centric workloads. We then study "nanostores" as an example design that constructs distributed systems from building blocks with 3D-stacked compute and NVM layers on the same chip, replacing both traditional storage and memory with NVM. Our limits study demonstrates significant potential of this approach (3-162X improvement in energy delay product) over 2015 baselines, particularly for IO-intensive workloads. We also discuss and quantify the impact of network bandwidth, software scalability, and power density, and design tradeoffs for future NVM-based data-centric architectures.

References

[1]

M. Mayer. The physics of data. Talk at Xerox PARC, 2009.

[2]

P. Ranganathan, From Microprocessors to Nanostores: Rethinking Data-Centric Systems. IEEE Computer Vol. 44(1), 2011, pp. 39--48.

Digital Library

[3]

COTSon: Infrastructure for system-level simulation. MICRO Tutorial, 2008.

[4]

ITRS roadmap. http://www.itrs.net/, 2009.

[5]

D. Andersen, et al. FAWN: A fast array of wimpy nodes. SOSP, 2009.

Digital Library

[6]

A. Caulfield, et a;. Gordon: an improved architecture for data-intensive applications. IEEE Micro, 30(1), 2010.

Digital Library

[7]

H. Volos, A. Tack, et al. Mnemosyne: Lightweight Persistent Memory. ASPLOS, 2011.

Digital Library

[8]

A. Cockcroft. Millicomputing: The future in your pocket and your datacenter. USENIX invited talk, 2008.

[9]

J. Dean and S. Ghemawat. MapReduce: Simplified data processing on large clusters. OSDI, 2004.

Digital Library

[10]

J. Ousterhout et. al. The case for RAMCloud. Communications of the ACM, 54(7):121--130, 2011.

Digital Library

[11]

T. Kgil et al. PicoServer: Using 3D Stacking Technology To Enable A Compact Energy Efficient Chip Multiprocessor. ASPLOS, 2006.

Digital Library

[12]

M. Gokhale, B. Holmes, and K. Iobst. Processing in memory: the terasys massively parallel PIM array. Computer, 28(4):23--31, 1995.

Digital Library

[13]

T. Kgil and T. Mudge. FlashCache: a NAND Flash memory file cache for low power web servers. CASES, 2006.

Digital Library

[14]

T. Kgil, D. Roberts, and T. Mudge. Improving nand Flash based disk caches. ISCA, 2008.

Digital Library

[15]

B. C. Lee, et al. Architecting phase change memory as a scalable dram alternative. ISCA, 2009.

Digital Library

[16]

D. Lewis and H. Lee. Architectural evaluation of 3D stacked RRAM caches. IEEE 3D System Integration Conf., 2009.

[17]

S. Li, et al. McPAT: An integrated power, area and timing modeling framework for multicore and manycore architectures. MICRO, 2009.

Digital Library

[18]

K. Lim, et al. Understanding and designing new server architectures for emerging warehouse-computing environments. ISCA, 2008.

Digital Library

[19]

D. Patterson, et al.A case for intelligent RAM. IEEE Micro, 1997.

Digital Library

[20]

M. K. Qureshi, et al. Enhancing lifetime and security of pcm-based main memory with start-gap wear leveling. MICRO-42, 2009.

Digital Library

[21]

M. Qureshi, et al. Scalable high performance main memory system using phase-change memory technology. ISCA, 2009.

Digital Library

[22]

V. Reddi, et al. Web Search Using Small Cores: Quantifying the Price of Efficiency. ISCA, 2010.

[23]

E. Riedel, et al. Active disks for large-scale data processing. IEEE Computer, vol 34, 2001.

Digital Library

[24]

S. Rivoire, et al. JouleSort: a balanced energy-efficiency benchmark. SIGMOD, 2007.

Digital Library

[25]

P. Clark, et al. Processing Petabytes per Second with the ATLAS Experiment at the LHC in CERN. GPU Tech. Conf., 2010.

[26]

Zichen Xu, et al. Exploring power-performance tradeoffs in database systems. ICDE, 2010.

[27]

Fan Yang, et al. Formalizing mapreduce with CSP. ECBS, 2010.

Digital Library

[28]

B. Zhai, et al. Energy efficient near-threshold chip multi-processing. ISLPED, 2007.

Digital Library

[29]

W. Zhang and T. Li. Exploring phase change memory and 3D die-stacking for power/thermal friendly, fast and durable memory architectures. PACT, 2009.

Digital Library

[30]

P. Zhou, et al. A durable and energy efficient main memory using phase change memory technology. ISCA, 2009.

Digital Library

[31]

Y. Zhou et al. Large-scale Parallel Collaborative Filtering for the Netflix Prize. Algo. Aspects in Information and Management, 2008.

Digital Library

[32]

D. Abts et al. Energy proportional datacenter networks. ISCA, 2010.

Digital Library

[33]

J. Condit et al, Better I/O through byte-addressable, persistent memory. SOSP, 2009.

Digital Library

[34]

S. Venkataraman et al. Consistent and Durable Data Structures for Non-Volatile Byte-Addressable Memory. FAST, 2011.

Digital Library

[35]

J. Coburn et al. NV-Heaps: Making Persistent Objects Fast and Safe with Next-Generation, Non-Volatile Memories. ASPLOS, 2011.

Digital Library

[36]

D. Stukov, G. Snider, D. Steward, and R. Williams. The missing memristor found. Nature, volume 453, pages 80--83, 2008.

Cited By

Singh GChelini LCorda SJaved Awan AStuijk SJordans RCorporaal HBoonstra A(2018)A Review of Near-Memory Computing Architectures: Opportunities and Challenges2018 21st Euromicro Conference on Digital System Design (DSD)10.1109/DSD.2018.00106(608-617)Online publication date: Aug-2018
https://doi.org/10.1109/DSD.2018.00106
Awan AOhara MAyguade EIshizaki KBrorsson MVlassov VJacob B(2017)Identifying the potential of near data processing for apache sparkProceedings of the International Symposium on Memory Systems10.1145/3132402.3132427(60-67)Online publication date: 2-Oct-2017
https://dl.acm.org/doi/10.1145/3132402.3132427
Ghandeharizadeh SMenon JKotzur GSen SChawla G(2016)Host Side Caching: Solutions and OpportunitiesDatabases and Information Systems10.1007/978-3-319-40180-5_14(196-210)Online publication date: 21-Jun-2016
https://doi.org/10.1007/978-3-319-40180-5_14
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A limits study of benefits from nanostore-based future data-centric system architectures

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Published In

cover image ACM Conferences

CF '12: Proceedings of the 9th conference on Computing Frontiers

May 2012

320 pages

ISBN:9781450312158

DOI:10.1145/2212908

General Chair:
John Feo
Pacific Northwest National Laboratory, USA
,
Program Chairs:
Paolo Faraboschi
HP Labs, Spain
,
Oreste Villa
Pacific Northwest National Laboratory, USA

Copyright © 2012 ACM.

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Published: 15 May 2012

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CF'12: Computing Frontiers Conference

May 15 - 17, 2012

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Cited By

Singh GChelini LCorda SJaved Awan AStuijk SJordans RCorporaal HBoonstra A(2018)A Review of Near-Memory Computing Architectures: Opportunities and Challenges2018 21st Euromicro Conference on Digital System Design (DSD)10.1109/DSD.2018.00106(608-617)Online publication date: Aug-2018
https://doi.org/10.1109/DSD.2018.00106
Awan AOhara MAyguade EIshizaki KBrorsson MVlassov VJacob B(2017)Identifying the potential of near data processing for apache sparkProceedings of the International Symposium on Memory Systems10.1145/3132402.3132427(60-67)Online publication date: 2-Oct-2017
https://dl.acm.org/doi/10.1145/3132402.3132427
Ghandeharizadeh SMenon JKotzur GSen SChawla G(2016)Host Side Caching: Solutions and OpportunitiesDatabases and Information Systems10.1007/978-3-319-40180-5_14(196-210)Online publication date: 21-Jun-2016
https://doi.org/10.1007/978-3-319-40180-5_14
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Ma JSui XSun NLi YYu ZHuang BXu TYao ZChen YWang HZhang LBao Y(2015)Supporting Differentiated Services in Computers via Programmable Architecture for Resourcing-on-Demand (PARD)ACM SIGPLAN Notices10.1145/2775054.269438250:4(131-143)Online publication date: 14-Mar-2015
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Li CHu YLiu LGu JSong MLiang XYuan JLi TMarr DAlbonesi D(2015)Towards sustainable in-situ server systems in the big data eraProceedings of the 42nd Annual International Symposium on Computer Architecture10.1145/2749469.2750381(14-26)Online publication date: 13-Jun-2015
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